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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

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Showing 351–375 of 524 papers

TitleStatusHype
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction—0
Machine Learning based Post Processing Artifact Reduction in HEVC Intra Coding—0
Machine Unlearning: its nature, scope, and importance for a "delete culture"—0
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality—0
Magnetic properties of photosynthetic materials - a nano scale study—0
Mass campaigns with antimalarial drugs: a modelling comparison of artemether-lumefantrine and DHA-piperaquine with and without primaquine as tools for malaria control and elimination—0
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning—0
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences—0
Matching, Unanticipated Experiences, Divorce, Flirting, Rematching, Etc—0
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training—0
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning—0
MIMO Antenna Elements Effect on Chassis Modes—0
Minimizing Instability in Strategy-Proof Matching Mechanism Using A Linear Programming Approach—0
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data—0
ML Estimation and CRBs for Reverberation, Speech and Noise PSDs in Rank-Deficient Noise-Field—0
Medha: Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations—0
Model Extraction Attacks on Split Federated Learning—0
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines—0
Modelling the ziji Blocking Effect and Constraining Bound Variable Derivations in MC-TAG with Delayed Locality—0
Minimizing Robot Navigation-Graph For Position-Based Predictability By Humans—0
Model predictive control with dynamic move blocking—0
Model Properties for Efficient Synthesis of Nonblocking Modular Supervisors—0
MUCIC at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using N-grams and Multilingual Sentence Encoders—0
Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks—0
Multiple Latent Space Mapping for Compressed Dark Image Enhancement—0
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